Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy.
| Autor: | Yako H; Diabetic Neuropathy Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan., Niimi N; Diabetic Neuropathy Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan., Takaku S; Diabetic Neuropathy Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan., Sango K; Diabetic Neuropathy Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2023 Nov 28; Vol. 14, pp. 1208441. Date of Electronic Publication: 2023 Nov 28 (Print Publication: 2023). |
| DOI: | 10.3389/fendo.2023.1208441 |
| Abstrakt: | Various animal and cell culture models of diabetes mellitus (DM) have been established and utilized to study diabetic peripheral neuropathy (DPN). The divergence of metabolic abnormalities among these models makes their etiology complicated despite some similarities regarding the pathological and neurological features of DPN. Thus, this study aimed to review the omics approaches toward DPN, especially on the metabolic states in diabetic rats and mice induced by chemicals (streptozotocin and alloxan) as type 1 DM models and by genetic mutations (MKR, db/db and ob/ob) and high-fat diet as type 2 DM models. Omics approaches revealed that the pathways associated with lipid metabolism and inflammation in dorsal root ganglia and sciatic nerves were enriched and controlled in the levels of gene expression among these animal models. Additionally, these pathways were conserved in human DPN, indicating the pivotal pathogeneses of DPN. Omics approaches are beneficial tools to better understand the association of metabolic changes with morphological and functional abnormalities in DPN. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Yako, Niimi, Takaku and Sango.) |
| Databáze: | MEDLINE |
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